Comparison Between Intelligent State Space Pruning and Cross Entropy with Application in Composite Power System Reliability Evaluation

被引：0
|
作者：
Chen, Qi [1 ]
Shi, Dao-Gui [1 ]
Liu, Wen-Xia [1 ]
Liu, Zong-Qi [1 ]
Wang, Li-Li [2 ]
Li, Meng [2 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
[2] State Grid Henan Econ Res Inst, Zhengzhou, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT ENGINEERING (ICEEE 2015) | 2015年
关键词：
Monte-Carlo Simulation; Reliability Evaluation; Intelligent State Space Pruning; Cross Entropy; SIMULATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
With the development of the power system, reliability evaluation method based on Monte-Carlo simulation (MCS) tends to be more computation intensive. More attention has been paid to improving the efficiency of reliability evaluation. This paper investigates two recent advanced techniques which aim to accelerate reliability evaluation: Intelligent State Space Pruning (ISSP) and Cross Entropy (CE), and proposes the comparison between the two techniques and crude MCS which are all tested on RTS79. The test results show CE superior to ISSP in terms of computational efficiency.
引用
收藏
页码：93 / 98
页数：6
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